Determination of Measurements of the Female Population of the Republic of Kazakhstan
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Bibliographic record
Abstract
Article deals with the problem of the size typology development of the female population of the Republic of Kazakhstan. Based on the statistical data of anthropometric measurements of the female population the absolute values of the basic dimensional characteristics for four age groups are determined. Based on the correlative-regression analysis the dependences of subordinate measurements from the leading were revealed. The analysis of the numerical values of the measurements of the female population depending on the age factor is given. On the basis of the calculation of the regression equations, the values of dimensional attributes of subordinates for typical figures used in the design of clothing are determined. On the example of the typical figure 164-96-104 the results of calculations of the absolute values of subordinate measurable traits for women of all age groups in comparison with the total age group and data of the previous dimensional typology are given.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it